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Stripe's Knowledge AI Platform

189 points · 118 comments · ltononro

  1. quadrifoliate · · focus · HN ↗
    Stripe is the company I usually hold up as the exemplar of polished internal tools. Hopefully this is taken the right way and I don't want to be negative towards the teams working on this, but I see a distinct lack of polish in these tools and presentations. Some examples:

    - Unnecessary AI copy throughout the interfaces like "Browse, discover, and manage skils for your agents", "No favorites yet — hover a card and click the star to pin it here", "One execution environment, shared across agents". These instantly read as AI copy and decrease my enthusiasm.

    - Inconsistent, AI-sloppy look-and-feel with different typefaces spattered across the interface.

    - The session metrics slide looks busy and AI-generated. It repeats 360,014 sessions in one of the cells at the top, but also has a "360K sessions" in the heading.

    I don't know if I'm the only one that notices this stuff, or whether others see it too.

    1. ashkankiani · · focus · HN ↗
      That's funny, because I recall in 2015 hitting their endpoint for a large-ish customer, and if you added a boolean to get the total result count, it would 500 every time, presumably because it was doing some kind of "SELECT count(1)" over a postgres table. IIRC, Stripe was ruby internally for a long time, no?

      Also their documentation was frequently just straight up incorrect (as in the described json schema for a response was violated. keys missing, different field names, etc.).

      But it's been over 10 years, has it improved since then? I'm still in my impression of their stack from back then, although they were decently mature by then as well.

      1. davidee · · focus · HN ↗
        I recently had to implement a stripe payment system for a client (having never used it before) and found their documentation to be accurate and excellent (at least for the Java SDK and relatively basic use case).

        No love for Stripe but IMO their documentation feels like a first-class product.

        1. ashkankiani · · focus · HN ↗
          I think the specific cases where it failed was when the customer was one of their earlier ones. My guess is that some data schema migration happened, and older data was being served which didn't quite match. So perhaps recency wouldn't potentially even surface those problems either.
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